decileboxplot

<code>decileboxplot()</code> take a distribution of PGS, a Continuous Phenotype
return a plot with deciles of PGS in x and Boxplot of the Phenotype in y

Using polygenic scores (PGS, or PRS/GRS for binary outcomes),
this package allows to investigate shared predisposition between different
conditions, and do fast association analysis, export plots and views
of the PGS distribution using 'ggplot2' object.

Vincent Pascat

comorbidPGS

Assessing Predisposition Between Phenotypes using Polygenic
Scores

decileboxplot function

<dl><dt>df</dt>
<dd>a dataframe with individuals on each row, and at least the following
columns:<ul>
<li>one ID column,</li>
<li>one PGS column, with numerical continuous values following a normal distribution,</li>
<li>one Phenotype column, can be numeric (Continuous Phenotype), character, boolean or factors (Discrete Phenotype)</li>
</ul></dd>
<dt>prs_col</dt>
<dd>a character specifying the PGS column name</dd>
<dt>phenotype_col</dt>
<dd>a character specifying the Continuous Phenotype column name</dd></dl>

Arguments

Deciles BoxPlot from a PGS Association with a Continuous Phenotype — decileboxplot

<dl>

<dt>df</dt>
<dd>a dataframe with individuals on each row, and at least the following
columns:<ul>
<li>one ID column,</li>
<li>one PGS column, with numerical continuous values following a normal distribution,</li>
<li>one Phenotype column, can be numeric (Continuous Phenotype), character, boolean or factors (Discrete Phenotype)</li>
</ul></dd>


<dt>prs_col</dt>
<dd>a character specifying the PGS column name</dd>


<dt>phenotype_col</dt>
<dd>a character specifying the Continuous Phenotype column name</dd>

</dl>

decileboxplot: Deciles BoxPlot from a PGS Association with a Continuous Phenotype

Description

Usage

Value

Arguments